Computation Offloading for Mobile Edge Networks Using Ant Colony Optimization
Computation Offloading for Mobile Edge Networks
The mobile edge computing (MEC) paradigm provides cloud-like capacities for mobile users (MUs) at the edge of wireless networks. However, deploying MEC systems faces many challenges, one of which is to achieve an efficient distributed offloading mechanism for multiple users in time-varying wireless environments. In this paper, we study a multi-user multi-edge-node computation offloading problem. We propose an offloading approach based on the ant colony optimization (ACO) algorithm. Simulation results with MRT and SC are provided to verify the proposed ACO-based offloading strategy and array signal processing schemes' effectiveness.
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